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A dual-task-assisted self-organizing map evolutionary algorithm for constraining multimodal multi-objective optimization
DOI:10.1016/j.swevo.2025.102276.png)
Abstract
En 中文
• A dual-task-assisted framework is designed for constrained multimodal problems. • A self-organizing map network is constructed to learn the topology of the true PF. • The dynamic environment selection mechanism is innovatively proposed. • The adaptive pruning strategy is designed to balance the two spaces.
Keywords:
Constrained multimodal optimization
Evolutionary algorithm
Dual-task
Self-organizing map
Pruning strategy
Journal
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